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4 results for Data Engineer in Washington, DC

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a full time opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. Responsibilities:• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-08-26T00:00:00Z

Business Intelligence (BI) Engineer

Herndon, VA
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are looking for an experienced Business Intelligence Engineer to lead and elevate our enterprise analytics environment in Reston, Virginia. This role is ideal for a hands-on technical expert who can shape data strategy, deliver trusted reporting, and partner with senior stakeholders to turn complex information into clear business direction. You will influence how analytics are governed, prioritized, and scaled while helping expand the use of AI-driven solutions across reporting and decision support. Responsibilities: • Lead the design, development, and ongoing optimization of the organization’s analytics ecosystem across cloud data platforms, reporting solutions, and integrated data services. • Build and maintain reliable data pipelines, structured data models, and system integrations that support accurate, scalable, and timely business intelligence delivery. • Create and enhance Power BI dashboards and semantic models, with attention to usability, performance, security, and content governance. • Partner with executive, finance, operations, and clinical leadership to define meaningful KPIs, refine business questions, and translate analytical needs into actionable solutions. • Establish practical standards for data governance, documentation, prioritization, and delivery to ensure analytics work is consistent, transparent, and sustainable. • Design and implement AI-enabled analytics tools such as natural-language query experiences, retrieval-based applications, or agent-driven workflows that improve access to insights. • Evaluate AI solutions for safety, reliability, accuracy, and cost efficiency, and apply appropriate controls to support responsible adoption. • Serve as the senior technical owner for analytics initiatives, working independently while coordinating with contractors or external partners when specialized support is needed.
2026-09-01T00:00:00Z

Cloud Engineer

Herndon, VA
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships. Responsibilities:• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.
2026-08-04T00:00:00Z

Systems Engineer

Baltimore, MD
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
We are looking for a Systems Engineer to support and enhance a mixed infrastructure environment in Baltimore, Maryland. This role focuses on maintaining stable server operations, strengthening security and access controls, and contributing to cloud-connected solutions across on-premises and Microsoft platforms. The ideal candidate brings hands-on experience with Windows-based systems administration, a strong understanding of core infrastructure services, and a practical approach to reliability and continuous improvement. Responsibilities: • Oversee daily administration of Windows and Linux servers to ensure dependable performance, availability, and system health. • Manage core identity and policy services, including Active Directory and Group Policy, while maintaining secure and consistent access controls. • Support and maintain virtual infrastructure across platforms such as VMware and Hyper-V to meet operational and business needs. • Provide technical support for Azure and Microsoft 365 environments, helping maintain connectivity and functionality across hybrid systems. • Contribute to cloud adoption efforts by assisting with hybrid deployments and migration-related infrastructure tasks. • Monitor server performance, patch compliance, and overall platform reliability, taking action to resolve issues before they impact users. • Handle complex troubleshooting for escalated server and infrastructure incidents, identifying root causes and restoring service efficiently. • Strengthen operational resilience by improving automation, backup procedures, and disaster recovery readiness. • Keep technical documentation current and establish configuration standards that promote consistency, security, and scalability.
2026-09-01T00:00:00Z